Christopher Majka

489 citations
35 papers · 341 · h-index 10

Impact in

Papers in

Christopher Majka

35 papers receiving 303 citations

Peers

Christopher Majka
Comparison fields: 5 of 29
  • Insect Science 196
  • Ecology, Evolution, Behavior and Systematics 255
  • Ecology 161
  • Genetics 123
  • Paleontology 24
Replace Michael Laumann with:
Michael Laumann Germany
Daniel J. Bickel Australia
Miłosz A. Mazur Poland
Kôji Sasakawa Japan
Jan Růžička Czechia
José Ricardo Inácio Ribeiro Brazil
Dmitry Telnov Latvia
R. H. Arnett United States
Karine Savard Canada
Olof Biström Finland
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Citations per field
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Citations per year

Countries citing papers authored by Christopher Majka

Since Specialization
Citations

This map shows the geographic impact of Christopher Majka's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christopher Majka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Majka more than expected).

Fields of papers citing papers by Christopher Majka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Majka. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christopher Majka. The network helps show where Christopher Majka may publish in the future.

Co-authors

The 25 scholars most cited alongside Christopher Majka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christopher Majka Line = papers co-authored together Christopher Majka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200941
2 200839
3 200428
4 200819
5 200818
6 201018
7 200616
8
Synopsis of adventive species of Coleoptera (Insecta) recorded from Canada. Part 2: staphylinidae
201316
9 200814
10 200811
11 20109
12 20109
13 20059
14 20088
15 20097
16 20097
17 20097
18 20087
19 20106
20 20106

About Christopher Majka

Christopher Majka is a scholar working on Ecology, Evolution, Behavior and Systematics, Insect Science, Ecology, Genetics and Paleontology, having authored 35 papers that have together received 341 indexed citations. Recurring topics across this work include Coleoptera Taxonomy and Distribution (26 papers), Forest Insect Ecology and Management (15 papers), Forest Ecology and Biodiversity Studies (14 papers), Lepidoptera: Biology and Taxonomy (13 papers), Fossil Insects in Amber (4 papers), Mycorrhizal Fungi and Plant Interactions (3 papers), Insect Utilization and Effects (3 papers) and Coleoptera: Cerambycidae studies (3 papers). The work is most often cited by research in Insect Science (196 citations), Ecology, Evolution, Behavior and Systematics (255 citations), Ecology (161 citations), Genetics (123 citations) and Paleontology (24 citations). Christopher Majka has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Jan Klimaszewski, David W. Langor, Peter N. Duinker, Stewart B. Peck, Søren Bondrup‐Nielsen, Randolph Lauff, Rex D. Kenner, Reginald P. Webster, Robert S. Anderson and Andrew R. Cline. Their work appears in journals such as ZooKeys, Zootaxa, Animal Biodiversity and Conservation, The Coleopterists Bulletin and Entomological News.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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